Tactile sensing based softness classification using machine learning
- 1 February 2014
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2014 IEEE International Advance Computing Conference (IACC)
- p. 1231-1236
- https://doi.org/10.1109/iadcc.2014.6779503
Abstract
The research on tactile sensors and its wide applications have received extensive attention among researchers very recently, especially in the two fields-Medical Surgery (Minimally Invasive Surgery-MIS) and Fruit and Vegetable Grading Industry. This paper proposes the implementation of a robotic system which can distinguish objects of different softness using machine learning approach, based on different parameters. Two piezoresistive flexible tactile sensors are mounted on a two fingered robotic gripper, as robotic arm can perform repetitive tasks under a controlled environment. A PIC32 microcontroller is used to control the gripping action and to acquire pressure data. Decision Tree and Naive Bayes methods are used as intelligent classifiers using feature vectors, obtained from the time series response of tactile sensors during grasping action for grading the objects. From the analytical point of view it is observed that Decision Tree based approach is better than the Bayesian approach.Keywords
This publication has 12 references indexed in Scilit:
- A review of tactile sensing technologies with applications in biomedical engineeringSensors and Actuators A: Physical, 2012
- Image processing of an agriculture produce: Determination of size and ripeness of a bananaPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- Color quantization and image analysis for automated fruit quality evaluationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- 2D/3D Vision-Based Mango's Feature Extraction and SortingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Application of Haptic Feedback to Robotic SurgeryJournal of Laparoendoscopic & Advanced Surgical Techniques, 2004
- Sensing skin acceleration for slip and texture perceptionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Analysis of friction on human fingers and design of artificial fingersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Slip detection by tactile sensors: algorithms and experimental resultsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Towards autonomous robotic servicing: Using an integrated hand-arm-eye system for manipulating unknown objectsRobotics and Autonomous Systems, 1999
- The development of soft gripper for the versatile robot handMechanism and Machine Theory, 1978